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Record W4394785562 · doi:10.1007/s10840-024-01771-5

2024 European Heart Rhythm Association/Heart Rhythm Society/Asia Pacific Heart Rhythm Society/Latin American Heart Rhythm Society expert consensus statement on catheter and surgical ablation of atrial fibrillation

2024· article· en· W4394785562 on OpenAlexaff
Stylianos Tzeis, Edward P. Gerstenfeld, Jonathan M. Kalman, Eduardo Saad, Alireza Sepehri Shamloo, Jason G. Andrade, Chirag R. Barbhaiya, Tina Baykaner, Serge Bovéda, Hugh Calkins, Ngai‐Yin Chan, Minglong Chen, Shih‐Ann Chen, Nikolaos Dagres, Ralph J. Damiano, Tom De Potter, Isabel Deisenhofer, Nicolas Derval, Luigi Di Biase, Mattias Duytschaever, Katia Dyrda, Gerhard Hindricks, Mélèze Hocini, Young‐Hoon Kim, Mark La Meir, José Luís Merino, Gregory F. Michaud, Andrea Natale, Isabelle Nault, Santiago Nava, Takashi Nitta, Mark O’Neill, Hui‐Nam Pak, Jonathan P. Piccini, Helmut Pürerfellner, Tobias Reichlin, Luis Carlos Sáenz, Prashanthan Sanders, Richard J. Schilling, Boris Schmidt, Gregory E. Supple, Kevin L. Thomas, Claudio Tondo, Atul Verma, Elaine Y. Wan

Bibliographic record

VenueJournal of Interventional Cardiac Electrophysiology · 2024
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsMcGill University Health CentreUniversité de MontréalMontreal Heart InstituteInstitut universitaire de cardiologie et de pneumologie de QuébecVancouver General Hospital
Fundersnot available
KeywordsMedicineAtrial fibrillationCatheter ablationHeart RhythmCardiologyInternal medicineRhythmIntensive care medicine

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.028
metaresearch head score (Gemma)0.049
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.147

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.049
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.002
Science and technology studies0.0010.002
Scholarly communication0.0040.002
Open science0.0030.003
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0170.012

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.329
Teacher spread0.302 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations54
Published2024
Admission routes1
Has abstractyes

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